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基于自适应卡彭信号处理算法的用于大气亮度温度高分辨率成像的干涉式微波辐射计。

Interferometric microwave radiometers for high-resolution imaging of the atmosphere brightness temperature based on the adaptive Capon signal processing algorithm.

作者信息

Park Hyuk, Choi Junho, Katkovnik Vladimir, Kim Yonghoon

机构信息

Sensor System Laboratory, Department of Mechatronics, Kwangju Institute of Science and Technology, 1 Oryong-dong, Buk-gu, Gwangju, Korea.

出版信息

Environ Monit Assess. 2004 Mar;92(1-3):59-72. doi: 10.1023/b:emas.0000014509.50959.f7.

Abstract

Passive microwave remote sensing from satellites and ground stations has contributed uniquely, and substantially, to the study of atmospheric chemistry, meteorology, and environmental monitoring. As user requirements are raised, in terms of the accuracy and the spatial resolution, a mechanically scanning radiometer, with a real aperture, becomes impractical due to the requirement for a very large antenna size. However, an aperture synthesis interferometric radiometer presents a valuable alternative. The work presented in this paper was devoted to high spatial resolution imaging, using the 37 GHz band interferometric radiometer, developed by ourselves. The spatially adaptive Capon beamforming method was exploited for the imaging, which outperformed the conventional Fourier Transform method. We concluded that the high spatial resolution imaging of the brightness temperature of the atmosphere could be accomplished with an interferometric radiometer equipped with the developed Capon beamforming imaging algorithm.

摘要

来自卫星和地面站的被动微波遥感在大气化学、气象学和环境监测研究中做出了独特且重要的贡献。随着用户对精度和空间分辨率要求的提高,由于需要非常大的天线尺寸,具有实孔径的机械扫描辐射计变得不切实际。然而,孔径合成干涉辐射计提供了一种有价值的替代方案。本文所展示的工作致力于使用我们自己研制的37GHz波段干涉辐射计进行高空间分辨率成像。成像采用了空间自适应的卡彭波束形成方法,其性能优于传统的傅里叶变换方法。我们得出结论,配备所开发的卡彭波束形成成像算法的干涉辐射计能够实现大气亮温的高空间分辨率成像。

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